Energy Management Practices Research Articles

Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach

Predicting water and energy consumption at high resolution over a short-term horizon is critical for water and energy resource management. Water and energy are shown to be closely interlinked in household consumption. However, hourly predictions are often based only on historical consumption data for the resource being predicted, with activity or appliance information and household attribution as additional information. Few studies have used aggregated water and energy consumption for predictions. Within this context, the current study proposed a novel hybrid machine learning model based on the Prophet time-series model, Gated Recurrent Unit network, and self-adaptive weights, called the Prophet-GRU model, which could jointly include historical water and electricity consumption as inputs for hourly water or electricity prediction. Data on hourly water and electricity consumption in six households in Beijing during January–March 2020 were used to train and validate the Prophet-GRU model. The goodness of fit indicator (R2) and prediction accuracy (mean squared error and mean absolute error) for the water and electricity predictions were evaluated. Compared with the single input of water or electricity, with the combined input of data of these two resources, the proposed Prophet-GRU model achieved improvements of 29.2 % and 48.5 % in R2, for water and electricity consumption prediction, respectively. Our results could help better understand water-energy linkages and promote collaborative water and energy management practices.

Leverage Energy Management to Enhance Asset Management

Energy management practices can shed new light on traditional asset management programs, save energy costs, increase the likelihood of failure accuracy, improve reliability, and reduce the capital burden of rehabilitation or replacement opportunities.

“Life After Coal”: Renewable Energy Impacts on SME Conduct

In recent years, increasing resource consumption worldwide has alarmed experts. This problem contributes to the need for more ecological solutions and processes including the use of renewable energies, which reduces organizations’ environmental impact. To find ways to improve new green solutions and process integration, researchers need to study and measure these innovation effects, especially on small- and medium-sized enterprises (SMEs). However, evaluating renewable energy impacts on SMEs is not as easy as would first appear. This challenge can be addressed by developing an analysis model to mitigate the limitations of recent studies and, concurrently, deal with this complex subjective issue. In this article, the combined use of cognitive mapping and the decision-making trial and evaluation laboratory (DEMATEL) technique facilitated the generation of a complete, transparent, and informed model that can help managers make better decisions in this context. Specifically, grounded in intensive group work sessions with renewable energy specialists, the results address some of the limitations of more generic models and include a multicriteria analysis system that provides guidelines for renewable energy management practices, with the potential to improve SME performance. To enable a fuller interpretation of the decision problem in question, the most important indicators were identified and the cause-and-effect relationships between these criteria were analyzed. The findings were validated by the panel members and a member of the Portuguese Renewable Energy Association. The advantages and limitations of the proposed model are also discussed.

Performance shaping factors for future sustainable energy management: A new integrated approach

The current literature suggests that a lack of integration between engineering for performance shaping factors (PSFs) and workplace energy management (WEM) is a significant barrier to improving energy management practices (EMP) and power plant efficiency. The study identified three research objectives in response to this research gap: (1) conduct a systematic literature review to analyze current studies; (2) develop a novel integrative model capable of predicting EMP; and (3) test the novel model's validity and reliability through an empirical study in thermal power plants. In this study, a group of academic and energy experts designed research instruments to achieve the study's objectives, which were then pilot-tested. Partial least square structural equation modeling was utilized to analyze the data in this study. The study successfully developed a new model for future sustainable energy management in power plants and a new model integrating the PSFs and WEM to predict power plant energy performance, aiming to enhance communication between operators and EMP in power plants. The model exhibited exceptional explanatory and predictive abilities, yielding a strong fit. Furthermore, the incorporation of success factors associated with PSFs positively influenced the EMP. The data set followed a normal distribution, confirming the model's reliability and validity. Significantly, this study achieved a breakthrough by being the first to integrate success factors for PSFs and WEM in thermal power plants, thus effectively addressing an unexplored area of research. However, the inconsistencies in the current studies emphasize the necessity for additional investigations into the strategy of PSFs in EMP within power plants.

Consumer Interface Smart Energy Meter

Abstract: It is realized that one of the defective subsystems adding to the tremendous budgetary loss in Power Supply Company is the conventional metering and charging framework. Mistakes get presented at each phase of charging the energy rates, similar to blunders with conventional meters, reading errors by human while noticing the consumed energy; and blunder during the preparation of paid and the due bills. The solution for this downside is a prepaid charging or billing framework of consumed energy. Most of the developing countries are shifting their conventional energy management practices to the modern one by replacing the old and conventional energy meters with the smart meters outfitted with the prepaid facility to quantify the power consumption so as to decrease the income deficits looked by utilities because of customer unwillingness to make consumed energy payments on time. Our proposed design embedded with Arduino and GSM technology is advancement over conventional energy meter, which enables consumer to effectively manage their electricity usage. The system performance is good with the acquired results. An earlier charging will undoubtedly get rid of the issues of unpaid bills and human mistakes in meter readings, along these lines guaranteeing justified income for the utility.

Education on the Use of Iot Technology for Energy Audit and Management Within the Context of Conservation and Efficiency

Education on the use of IoT technology for energy audit and management within the context of conservation and efficiency The demand for electrical energy rises in direct proportion to a region's economy. The basic electricity rate rises in response to the steadily growing demand for electrical energy. Increased use of electrical energy is a result of wasteful conduct and a disregard for equipment standardization. increases the utilization of electrical energy. The local population still does not appear to be concerned or aware of how crucial it is to keep the electrical supply sustainable.Many studies that are pertinent to energy efficiency and conservation education have been conducted.Thus, the community needs to be informed of this information in order to, among other things, increase understanding, encourage the community to behave economically, conduct audits, and manage electrical energy in accordance with standardized practices. SMK N 1 Brebes, a vocational school for electrical and electronics, is a setting that is pertinent to the use of this technology. The development in students' abilities after engaging in this activity shows that it has delivered education in the form of reading material and energy management practice.

Education on the Use of Iot Technology for Energy Audit and Management Within the Context of Conservation and Efficiency

Education on the use of IoT technology for energy audit and management within the context of conservation and efficiency The demand for electrical energy rises in direct proportion to a region's economy. The basic electricity rate rises in response to the steadily growing demand for electrical energy. Increased use of electrical energy is a result of wasteful conduct and a disregard for equipment standardization. increases the utilization of electrical energy. The local population still does not appear to be concerned or aware of how crucial it is to keep the electrical supply sustainable.Many studies that are pertinent to energy efficiency and conservation education have been conducted.Thus, the community needs to be informed of this information in order to, among other things, increase understanding, encourage the community to behave economically, conduct audits, and manage electrical energy in accordance with standardized practices. SMK N 1 Brebes, a vocational school for electrical and electronics, is a setting that is pertinent to the use of this technology. The development in students' abilities after engaging in this activity shows that it has delivered education in the form of reading material and energy management practice.

Sustainable energy and environmental management practices in the recreation and tourism industries in Nsukka metropolis of Enugu State

Sustainable energy and good environmental management practices are potent factors that can be used to achieve clean energy and sustainable economic growth. This is a global problem that needs immediate action and intervention to reduce the adverse impact of climate change to humanity. This study investigated the sustainable energy and environmental management practices in the recreation and tourism industries in Nsukka metropolis of Enugu State. The descriptive research design was adopted for the study. The population of the study consisted of 209 recreation and tourism service providers in Nsukka Metropolis. Instrument for data collection was a structured questionnaire which was validated by three experts from the University of Nigeria, Nsukka. The instrument has a reliability coefficient of 0.81. Frequency and percentages were used to determine level of sustainable energy and environmental management practices, while phi coefficient was used to determine relationship between sustainable energy and environmental management practices. Findings showed that recreation and tourism possess very low level of knowledge of sustainable energy use. They however showed positive attitude towards sustainable energy through the adoption of energy saving devices like energy bulbs, solar PVs etc. There is strong positive relationship between knowledge of sustainable energy and environmental management practices. The researchers recommended that government should improve on its effort to create awareness of sustainable energy use and environmental management practices among the populace if the problem of climate change is to be abated.

Analyzing Power Losses in Ghazni City's Electricity Distribution Network and Strategies for Minimizing Them

Electricity is a vital source of energy that plays a crucial role in the economic and social development of a country. However, the distribution of electricity from power plants to consumers is a complex process that involves a network of electricity transmission and distribution systems. These systems are susceptible to losses that occur at various stages of the distribution process, such as transmission, conversion, and distribution. Power losses in distribution systems can be caused by technical and non-technical factors. Technical factors include conductor resistance, voltage drops, and transformer losses, while non-technical factors include theft and defective equipment. These losses can have significant economic consequences, such as lower reliability, higher costs, and lower revenues for utilities. Therefore, it is important to study and analyze the causes of power losses in distribution systems and develop strategies to reduce them. In this research, real field data of Ghazni Breshna Company was used to calculate electricity losses. In the case of Ghazni city electricity distribution network, the research shows that there is an energy loss of 11.7%, which amounts to 1,093,736 kWh per year. This energy loss results in a financial loss of 6,835,850 Afghanis for Barshna Company. The real field data obtained from Ghazni Breshna Company was used for the energy loss calculations. Several strategies can be used to reduce power losses, including reducing technical losses by improving equipment and maintenance practices, reducing non-technical losses by combating theft and illegal connections, and increasing the efficiency of the distribution network. In addition, improving energy management practices such as demand response, load balancing, and power factor correction can also help reduce power losses. Reducing power losses in the electric distribution system is critical to improving electric power reliability and quality and minimizing economic losses for utilities. In addition, high investment in this area can contribute to the growth of the nation's economy. The results of this study demonstrate the importance of understanding power losses in distribution systems and the need for effective measures to minimize these losses.

Energy Management Practices for Improving Energy Efficiency in Industries: Furnace, Steam Boiler, HVAC, and Cooling Systems

The aim of this study is to demonstrate and analyse energy management practices to increase energy efficiency in industries. In the study, examples of energy efficiency increasing applications that can be carried out in industrial organizations were discussed and the amount of savings for these applications was calculated. The main energy efficiency applications discussed in the study are the heat recovery in boilers and furnaces, thermal insulation, and heat recovery in HVAC systems. As a result of this study, with energy management and energy efficiency applications, 38.2% of heat recovery and 15.79% of fuel savings were achieved when recuperators were used in the furnace. While the boiler thermal efficiency was 64.46% when the recuperator was not used, the boiler thermal efficiency increased to 76.54% when the recuperator was used. In HVAC systems, heat recovery was achieved with 47% efficiency with the recuperator, heat exchanger with 51% efficiency and 1.09 COP in heat pump. In cooling applications, 30.4 % energy saving was achieved in the insulated room.

Does financial inclusion index and energy performance index co-move?

Financing strategies and energy performance have been extensively studied previously, and researchers frequently overlook the co-movements of integration of financial inclusion and energy performance index in the E7 Context. To address this gap, current research estimates the co-movement between the financial inclusion index and sustainable energy performance index to reflect the consequences of the COVID-19 crisis. Our findings show that in E7 economies, China exceeds the other nations in terms of energy performance. With a steady score, Russia is second in the group. Indonesia and Turkey are respectively fourth and fifth, and their total results show excellent prospective performances for sustainability. Mexico and Brazil follow this ranking with bad results and the lowest scores reported in the study results. The study findings are helpful for policy formulation and assessment. The study presented recommendations about financial inclusion and energy management practices in COVID-19 and delivered insights about the energy performance index in E7 economies.

What Factors Cause Weak Industrial Energy Management Practices?

The aim of this study is to investigate the ongoing energy management andenergy efficiency practices in the industries of Peshawar division of KhyberPakhtunkhwa, Pakistan. The outcomes of this research shows that KhazanaSugar Mills, Caliph Pharmaceutical, Naguman Flour Mill have no or lowawareness of energy management practices (awareness level mainly includesbarriers to energy efficiency and drivers for energy efficiency) except FF steelmill. The major paces observed in lacking the awareness are (1) “understand-ing level of staff and workers about energy savings due to energy management practices” (2) “interest level of top managers for energy management imple-mentation” (3) “awareness level regarding energy efficiency” (4) “lack oftechnical competence” (5) “use of standardized procedures”. When theindustry managers were inquired about the relationship with energy serviceproviders it is found that there is absolute absence of energy engineers,relationship with energy consultancies and long-term energy strategy in allthe industries. It was also found that there is lack of using renewable energytechnologies in all industries as they were relying upon using the generatorsduring the blackout hours. In terms of percentage, the energy saving factor of36 kWh/day has also observed with the replacement of fluorescent tube lightswith light emitting diode (LED) tube lights. Proper maintenance and energymanagement practices in the heating, ventilation and air conditioning system(HVAC) would also save energy in a significant amount. The study shows thatthere is an overall improvement factor of 4% to 8% if the inclusion of energymanagement and energy efficiency practices would have been applied in allthe stated industries.

Energy audit and management of an industrial site based on energy efficiency, economic, and environmental analysis

This study presents an energy audit and management for an industrial site in Borg El-Arab City, Egypt. Notably, the investigated industrial site falls in the category of small and medium-sized enterprises (SMEs), which are characterized by a high share of final energy use and possess a significant untapped energy-efficiency potential. In this work, potential sources of energy wastage in the facility have been investigated following a unique energy audit and analysis road map. Furthermore, tailored energy efficiency recommendations and effective energy management practices have been proffered for the various industrial equipment available for the first time. Besides, the proposed action plans are economically evaluated using the payback method and their environmental benefits are assessed accordingly. The results show that a proposed expansion of the PV system would produce 676.62 MWh/year and satisfy about 50.95 % of the factory’s annual electricity consumption. The renewable energy system presents an investment cost of $124,115 with an attractive payback period of about 3 years alongside curbing 293 tons of CO2 emissions annually. In addition, the installation of variable speed drives in the motor systems would save about 48.477 MWh/year with a payback period of 1.73 years and mitigate about 21 t of CO2 annually. Nevertheless, thermal insulation of the mold assembly using thermal boards and incorporating an air gap in the mold assembly design results in energy savings of about 319 MWh per year. The energy management of fans, compressors, and lights demonstrates annual energy savings of 121.461 MWh, 14.88 MWh, and 32.154 MWh, respectively. Notwithstanding, replacing fossil fuel-based forklifts with electric forklifts leads to an investment cost of $32,220 with an associated payback period of 5.74 years. Noteworthy, the energy audit and management herein present energy savings and CO2 emissions mitigations of 535.971 MWh and 232 t annually, respectively. Evidently, the energy audit and management performed will act as a guide for relevant decision-makers towards energy efficiency improvements, consequently achieving economic savings and limiting the carbon footprint.

Optimizing Decision-Making of A Smart Prosumer Microgrid Using Simulation

Distributed renewable energy sources offer significant alternatives for Qatar and the Arab Gulf region’s future fuel supply and demand. Microgrids are essential for providing dependable power in difficult-to-reach areas while incorporating significant amounts of renewable energy sources. In energy-efficient data centers, distributed generation can be used to meet the facility’s overall power needs. This study primarily focuses on the best energy management practices for a smart microgrid in Qatar while taking demand-side load management into account. This article looked into a university microgrid in Qatar that primarily aimed to get all of its energy from the grid. While diesel generators are categorized as a dispatchable distributed generation with energy storage added to handle solar radiation from the sun and high grid power operating costs in the suggested scenario, wind turbines and solar Photovoltaic (PV) are classified as non-dispatchable distributed generators. The resulting linear math issues are assessed and displayed in MATLAB optimization software using a mixed-integer linear programming (MILP) strategy. According to the simulation results, the suggested energy management strategy reduced the university microgrid’s grid power costs by 38.8%, making it an affordable solution which is somehow greater than the prior case scenario’s 23% savings. The installed solar system capacity’s effects on the economy, society, and finances were also assessed, and it became clear that the best option for the smart microgrid was determined that would be 325 kW of solar PV, 25 kW of wind turbine, and 600 kW of diesel generators, respectively. Given the current situation, university administrators are urged to participate in distributed generators and adopt cutting-edge designs for energy storage technologies due to the significant environmental and financial benefits.

Energy management: DSTU ISO 50001:2020 and conditions of martial law

The authors of the article emphasize the relevance of the issue of energy management system functioning and its role for the country's economy and business entities. As the authors point out, this problem becomes particularly acute in the conditions of martial law in Ukraine. The article highlights that effective management of energy resources can contribute to the stabilization and development of the national economy, reduce dependence on imported energy, and diversify energy sources. The authors also emphasize the importance of investing in renewable energy sources and developing innovative technologies to improve energy efficiency, which contributes to environmental preservation. The article also stresses the need to adapt energy management practices to the challenging conditions of war based on the provisions and principles of DSTU ISO 50001:2020. It is emphasized that modern energy management faces a multitude of specific and critically important tasks, especially in wartime. These tasks include ensuring a stable energy supply, the rapid restoration of damaged infrastructure, promoting energy conservation, protecting energy infrastructure, and effective management of energy resources. Collaboration with government organizations and military structures is crucial, and communication with the public is also significant. All of this requires quick decision-making and flexibility, which are key to successful energy management in times of war. Particular attention should be paid to the consideration of strategies and decisions that can help overcome these challenges, including the wider adoption of renewable energy, energy conservation, and energy efficiency in the activities of businesses. In conclusion, the authors emphasize the need for a comprehensive approach and rapid adaptation to changing wartime conditions for effective energy management. They point out that such an approach will not only help Ukraine overcome current challenges but also ensure a sustainable energy future. This, in turn, will contribute to economic growth, environmental improvement, and national security.

Industrial Energy Efficiency Technologies and Management Applications in Turkey

Efforts to ensure sustainability in energy, reduce foreign dependency and combat climate change require efficient use of energy and energy resources in Turkey as well as in the rest of the world. Implementing environmentally friendly policies and methods in energy production/consumption and creating resource alternatives, and increasing efficiency by avoiding waste has been a policy that has been emphasized in Turkey. Energy efficient technologies in the industry is to use energy with high efficiency and savings without sacrificing production quality. The application of benchmarking methodologies to determine the efficiency of the industrial plant in terms of energy consumption and to compare it with similar enterprises in the same industry will provide a solid basis for the steps to be taken according to the current situation of a particular industrial plant. Therefore, for such a comparative analysis a set of criteria should be determined and applied. For this purpose, there are two main types of criteria that can be used by grouping them as general and sector-specific criteria. In this study, considering both criteria, energy efficiency technologies and management practices that can be applied for different sectors in Turkey have been compiled. Studies conducted in the literature within the scope of good practices in energy efficiency and management for the Textile, Iron-Steel, Cement and Glass sectors were examined, and policy and strategy proposals for the dissemination of these studies to the locomotive sectors in Turkey were discussed.

Environmental Responsiveness in Australia’s Bus and Coach Supply Chain

The responsiveness of business enterprises to the natural environment is of great concern to both the government and industrial sectors in Australia. A key question emerges as to which industries are environmentally more responsive than others. This article examines transportation’s contribution to greenhouse gas (GHG) emissions. It identifies and describes environmental responsiveness within Australia’s bus and coach sector, a major operator of passenger transport. This sector is defined in the full context of the supply chain; that is, the integration of business processes from manufacturers and suppliers of vehicles and fuel to the providers of services and information for the benefit and value of customers.The article focuses on the perceptions that bus and coach operators have about environmental opportunities and associated risks. Twenty-six key stakeholders were invited to participate in either a survey or case study designed to ascertain energy and waste management practices. Environmental responsiveness occurs when it has the greatest potential impact on the ‘‘bottom line “ of both the environment and the business. While operators initiated waste and energy management programs to be socially responsible, the continuation of these practices depended on their cost effectiveness to the business. A number of specific actions are warranted based on the study’s findings.

Development of Photovoltaic Power Generation Prediction Model using ANFIS

Prediction of photovoltaic (PV) performance is important for energy management practices. The power produced from renewable energy sources is uncertain in nature as it is subjected to continuous changing weather conditions. Hence accurate prediction of output power from these sources is difficult task. In this paper Adaptive Neuro-Fuzzy Inference System (ANFIS) based forecast model for predicting the PV power generation is developed. The proposed model is based on back propagation hybrid learning algorithm of ANFIS with four inputs and one output. Experimentally measured input data of 20 KW. PV system installed at Nashik, Maharashtra, India is used for developing prediction model. The inputs are solar radiation (Rad), ambient temperature (Temp), relative humidity (Hum) and day of year for measurement. Photovoltaic power generation is the output of the model. This data is utilized in the training and testing of the proposed model. Results obtained confirm the ability of the developed ANFIS model for assessing the power produced with reasonable accuracy. A comparative study has done between regression analysis and ANFIS. This shows that the ANFIS-model performs much better than regression. The advantage of the ANFIS model is that they do not need more parameters or complicate calculations unlike implicit models. The developed model could be used to forecast the profile of the produced power in uncertain whether conditions. The error due to ANFIS prediction model for energy produced from the given system considered in this research is 6.14 % which is much better when compared with regression analysis whose error is 16 %. The results indicate that this model can potentially be used to estimate and predict PV solar output power.

Energy management practices, barriers, and drivers in Bangladesh: An exploratory insight from pulp and paper industry

Industrial energy management is critical to ensuring efficient energy usage, market viability, and greenhouse gas emission reductions. In this study, the aim is to investigate energy management practices in paper and pulp industries (PPI) of Bangladesh. The study identifies several barriers to adopt energy management practices; “Lack of governmental attention”, “Inadequate staff awareness” and “limited access to capital” are identified as the major constraints. In addition, HVAC systems and compressed air systems present higher barriers compared to electrical motor and pump systems while looking at the barriers by technology areas. On the other hand, “Owner's demand”, “Commitment from the top management” and “Pressure from the customers and different non-Governmental organization” are found to be the dominant drivers of energy management in the studied PPI. Energy management practices can enhance the energy efficiency approximately by 4–5 % according to the study. Furthermore, this study reveals that the majority of PPIs are unaware of the energy service companies (ESCO) with the lack of a standardized system for energy audit, as well as a lack of trust and information, appearing to be the obstacles behind this.

Sustainable construction through energy management practices: an integrated hierarchal framework of drivers in the construction sector.

Reducing energy usage and promoting energy management practices remain hot issues in the construction sector. Construction firms are not interested to adopt energy conservation and management practices in their projects. Despite the successful integration of energy management practices in developed nations, their adaptability in developing countries, especially in Pakistan, is at a slow pace. Therefore, drivers to energy management practices need to be realized for its adoption. Based on this, the current study intends to evaluate the drivers of energy management practices adopted in the construction sector of Pakistan by using a four-stage methodology. Fuzzy Delphi method (FDM), interpretive structural modeling (ISM), and Matrice d’Impacts Croises Multiplication Appliques a un Classement (MICMAC) analysis were integrated with prioritizing essential drivers. Increased tax imposition on construction companies for energy usage and pollution contribution, promotion of investment subsidies for energy efficiency technologies, and increased enforcement of government rules and regulations regarding on-site energy management practices arose as significant drivers to adoption of energy management practices in the construction sector of Pakistan. These results will be helpful for policymakers to develop effective policies for integrating energy management practices in the construction sector. This study contributes significantly by developing a novel model of drivers affecting EMP adoption in the Pakistani construction sector. Further research might be expanded to other developing countries to validate current results.Supplementary InformationThe online version contains supplementary material available at 10.1007/s11356-022-21928-x.